Dixest lets users compile custom lists of X accounts and receive a daily AI‑generated briefing that extracts, deduplicates, and attributes all shared links such as papers, code repositories, and articles. The digest provides concise per‑account summaries with inline citations back to the original posts and a cross‑account thematic overview, enabling professionals and researchers to stay updated without manually browsing timelines.
Funding
Funding not disclosed
Founders
Product
Problem
Dixest addresses the difficulty of staying informed about the activity of multiple X (formerly Twitter) accounts, where valuable content such as papers, repositories, and articles is scattered across timelines and often lacks clear attribution.
Solution
Dixest lets users create custom lists of X accounts and delivers a daily AI‑generated briefing that summarizes each account’s posts. The service extracts every shared link, removes duplicates, and attributes each source, providing a consolidated view of papers, code repositories, and articles. Summaries include inline citations that link claims directly back to the original X posts, ensuring transparency and traceability. Users receive a concise digest that highlights cross‑account themes as well as per‑account details, allowing quick access to the most relevant content without manual timeline browsing.
Target Audience
Primary users are professionals, researchers, and enthusiasts who need to monitor curated sets of X accounts for industry news, academic publications, and technical resources.
Features
- Custom list creation for any selection of X accounts
- Daily AI‑generated summaries with inline citations linking back to original posts
- Automated extraction, deduplication, and attribution of all shared links (papers, repositories, articles)
- Cross‑account thematic overview combined with detailed per‑account activity
- Direct links to source content for immediate access